Comments (1)
hello, i would suggest you go through the eval.py and replace the dataloader with your own dataset. the output from the network is the predicted logits, and you can use argmix to obtain the predicted class.
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Related Issues (20)
- Unable to REPEAT previous results. HOT 1
- About the effect of meta-train HOT 2
- CUB dataset is not original one HOT 1
- Code for Visualization of Fig 6 & 7 in the paper HOT 2
- Reproduction of the results of tiered-imagenet HOT 1
- hyperparameters for pre-training on TieredImageNet? HOT 1
- retun statement in the encode function of class DeepEMD
- training hyperparameters for CUB and CIFAR
- About the acc on miniImageNet HOT 2
- Fail to reproduce accuracy for miniimagenet HOT 1
- About sfc_lr in eval.py HOT 1
- dataset structure? HOT 1
- The memory of QPTH-solver(5way-1shot) is about 22GB HOT 1
- Pretrain model overfitting HOT 1
- Can't achieve the accuracy in the papar HOT 5
- All the results are lower than paper with the default settings and feature pyramid 5,2,1 HOT 1
- Why repeat data_shot HOT 2
- MiniImageNet Dataset and TieredImageNet Dataset HOT 2
- I'm trying to reproduce under a framework named LibFewShot HOT 2
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